Monitoring That Catches What Appointments Miss
Most chronic-disease deterioration is preventable — if someone is watching between visits. We build the device infrastructure, clinical alerting, and care-team workflows that turn continuous data into timely action.
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The Devices We Connect
What "connected device" means in a clinical RPM context varies significantly by condition and program design. Here's what we connect, and why each reading matters.
What We Build — From the Device to the Care Team
An RPM platform is six systems working together. Each is where most implementations quietly fail — and each is where we build for clinical reality instead of the ideal conditions that make a demo look clean.
Connectivity built for the real-world conditions your patients live in — automatic pairing a seventy-year-old can complete without calling support, cellular devices for patients without reliable Wi-Fi, offline buffering, and transmission confirmation so a missing reading triggers a workflow rather than being silently dropped.
Raw readings contextualized against each patient's individual baseline, trend history, medication changes, and clinical profile. Patient-specific baselines that update as data accumulates, trend detection that catches patterns before they cross absolute thresholds, and multi-parameter correlation — a clinical signal, not a stream of numbers.
Alert fatigue is the single most common reason RPM programs fail. We calibrate to clinical significance, not threshold proximity — patient-specific thresholds, prioritization, routing to the right team member, automatic escalation if unacknowledged, and suppression of artifacts like the BP reading taken right after exercise.
A prioritized clinical worklist, not a list of readings — sorted by urgency, annotated with context, and linked to the outreach and documentation workflows that responding requires. Care-gap identification for missed transmissions, and the documentation infrastructure that supports RPM reimbursement billing.
A clear, simple view of a patient's own readings and trends — patients who can see their data stay more engaged than those transmitting into a black box. Condition-calibrated education, medication reminders, structured symptom logging, secure messaging, and the technical simplicity older patients managing multiple conditions actually need to stay engaged for months.
RPM data that doesn't flow into the chart creates a two-chart problem care teams navigate around. Device readings, alert histories, outreach documentation, and billing records flow into your EHR automatically — FHIR-compliant where supported, custom for legacy systems, bidirectional where care plans and medication changes need to flow back.
The AI Layer — What Intelligence Does in RPM
The real value of AI in RPM isn't flagging a high reading now. It's spotting the pattern three or four days earlier — and flagging that patient for outreach before deterioration becomes acute.
Predictive Deterioration Modeling
Trained on your patient panel — not generic population averages. Learns the patterns that precede deterioration in your population and improves as data accumulates.
Automated Triage Prioritization
Scores incoming readings by clinical urgency and routes coordinator attention to the patients who need it most — not a flat list under time pressure.
Adherence Prediction
Irregular transmissions, declining engagement, and reduced symptom logging are early disengagement signals — surfaced before the patient drops out.
Population Health Analytics
Aggregate RPM data is among the richest longitudinal data you have — mostly underanalyzed. We surface program effectiveness, disease-progression, and medication-efficacy signals episodic EHR data can't reach.
RPM Platforms We've Built. What Followed.
Each number comes from a connected-device platform we built — tied to a real clinical problem. Click through to see the program behind each metric.
Talk to Us About Your RPM Build35%
Fewer 30-day readmissions — CHF Remote Monitoring Program (no visibility between visits; time to detect fluid retention dropped from days to hours)
40%
HbA1c improvement at 6 months — Diabetes Management Platform, CGM + BP (adherence documentation supported CPT billing from month one)
88%
Treatment completion rate — OAT Chronic Care Monitoring (replaced a 16-step manual tracking process; care-team workload per patient down 55%)
½
30-day readmission rate cut in half — Post-Discharge Cardiac Monitoring (transitional care gaps closed; post-discharge response time under 2 hours)
65%
Higher early exacerbation detection — COPD Remote Monitoring Program (exacerbations previously caught only at the ED; ED visits down 40% in the monitored cohort)
45%
Of uncontrolled patients reached target BP in 90 days — Hypertension Management Platform (poor control across a large primary-care panel, no between-visit visibility)
35%
More care-coordinator panel capacity — Multi-Condition Chronic Care Platform (complex patients with 3+ conditions; one monitoring platform across all of them)
How We Build RPM Platforms
Hover or tap a stage to see what it actually involves.
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Clinical Design First
Clinical Design First
Which patients, what data, who acts on alerts. Skip these and you get a platform that works technically and fails clinically.
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Device Selection
Device Selection
The right devices depend on your population and real-world conditions — connectivity, technical comfort, form factor. A clinical decision, not a procurement exercise.
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Alerting Logic Before Code
Alerting Logic Before Code
Thresholds, routing, escalation, and suppression designed with your care team before development starts — so alerts get acted on, not ignored.
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Patient Onboarding
Patient Onboarding
A patient not transmitting is one never enrolled. Setup, verification, and education are planned as a clinical workflow — not assumed to be self-service.
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Reimbursement Built In
Reimbursement Built In
CPT 99453–99458 documentation — monitoring time, transmission counts, contact records — generated automatically, not reconstructed at billing time.
RPM Has a Regulatory Landscape That Changes Faster Than Most
RPM carries a heavier, faster-moving compliance burden than most clinical software. Every standard below is an architectural requirement, built in from the start.
Privacy
HIPAA, HITECH & Patient Data
Transmission, storage, and access controls for PHI generated outside the clinic.
Security
Security & Connected-Device Risk
Independently audited controls plus IoT device hardening across the connected-device stack.
CMS Billing
CMS RPM Billing & Reimbursement
CPT docs, transmission thresholds, and supervision rules — generated automatically.
Devices
FDA Device & Software Regulation
Device classification for RPM hardware and its software — including SaMD and interoperability standards.
State Rules
State Telehealth, RPM & Prescribing
State-specific monitoring and PDMP/prescribing rules that shape program design across state lines.
Accessibility
Accessibility
Usable by every patient and clinician — including the older population RPM most needs to reach.
We've Built RPM Programs For Chronic Conditions
Each condition has its own monitoring parameters, alerting logic, and reimbursement profile. Here's where we've built connected-device programs around the condition instead of stretching a generic monitoring platform to fit.
Congestive Heart Failure
Hypertension
Post-Cardiac Event Monitoring
Atrial Fibrillation
Type 1 & Type 2 Diabetes
Obesity & Metabolic Syndrome
Chronic Kidney Disease
COPD & Asthma
Sleep Apnea & Respiratory Disorders
Post-COVID Long-Haul Monitoring
Epilepsy & Seizure Disorders
Parkinson's Disease
Opioid Use Disorder & MAT
Behavioral Health Chronic Care
Cancer & Chemotherapy Monitoring
Post-Surgical Transitional Care
Wound Care & Post-Surgical Recovery
Pediatric Chronic Disease
Geriatric Multi-Condition Management
High-Risk Pregnancy Monitoring
Technology Behind the RPM Platforms We Build
We select technology based on real-time data-processing requirements, your compliance load, and existing infrastructure — proven healthcare standards, device-communication protocols, regulated cloud, and time-series infrastructure engineered for continuous device data.
R
React Native (iOS & Android)
R
React.js / Next.js
S
Swift
K
Kotlin
N
Node.js
P
Python (FastAPI)
J
Java Spring Boot
C
CoreBluetooth (iOS)
A
Android BLE
C
Cellular Modem Integration
H
HL7 FHIR Device Resource
I
IHE PCD
I
IEEE 11073
P
PyTorch
T
TensorFlow
S
scikit-learn
T
Time-Series Anomaly Detection
H
HL7 FHIR R4
H
HL7 v2
S
SNOMED CT
L
LOINC
E
Epic / Cerner / Athenahealth
M
Meditech / eClinicalWorks
P
PostgreSQL (clinical records)
I
InfluxDB / TimescaleDB (time-series)
R
Redis (real-time alerting)
S
Snowflake (population analytics)
A
AWS GovCloud
G
Google Cloud Healthcare API
A
Azure Health Data Services
A
AES-256 Encryption
O
OAuth 2.0 / RBAC / MFA
F
Full Audit Logging
The Patients Your Program Needs to Reach Are the Ones Least Visible Between Appointments
The patients driving your readmissions and care-management costs are often the ones you hear from least. RPM fixes this when it's built right. Thirty minutes, no pitch.
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Frequently Asked Questions
[ 1 ]
How do you handle patients who aren't comfortable with technology?
This decides whether an RPM program reaches the patients who need it most — a population that skews older and less tech-confident. We build onboarding and device interfaces for users with limited smartphone experience: large text, simple navigation, minimal steps to a transmission, plus coordinator tools to help patients who can't self-serve.
[ 2 ]
What happens when a patient's device stops transmitting?
A patient who stops transmitting is a clinical signal, not just a tech problem. We build monitoring that tells a device offline for technical reasons from a patient disengaging — and routes each to the right workflow. Technical issues trigger support; disengagement triggers a coordinator. Neither gets ignored.
[ 3 ]
How does RPM reimbursement actually work, and do you build for it?
RPM reimbursement needs specific documentation — setup confirmation, transmission-day counts, monthly monitoring time, and care-team contact records — generated automatically, not reconstructed at billing time. We build that as a core component. Most practices we build for are billing RPM within sixty days.
[ 4 ]
Can RPM data integrate with our existing EHR?
Yes. We've integrated RPM platforms with Epic, Cerner, Athenahealth, Meditech, and specialty EHRs. Readings, alert histories, outreach, and billing records flow into the clinical record automatically. We scope it during discovery and build it as a first-class component.
[ 5 ]
How long does it take to build an RPM platform?
A focused single-condition platform — hypertension, diabetes, CHF — for one organization typically runs four to six months. A multi-condition platform with AI alerting, population analytics, and deep EHR integration runs eight to twelve. We give you a milestone-based timeline after discovery.
[ 6 ]
What about patients in rural areas with poor connectivity?
We design for it, not around it. Cellular devices for patients without reliable Wi-Fi, offline buffering that stores readings locally and sends when connectivity returns, low-bandwidth protocols that work on 3G, and apps that hold up in degraded networks without confusing the patient.
[ 7 ]
Who owns the platform?
You do. Full IP transfer at project close. No per-patient fees, no licensing costs that scale with your program size.
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